An object-oriented neural network language

Author

Hu, Daikui S.

Author_Institution

Dept. of Comput. Sci., Changsha Inst. of Technol., Hunan, China

fYear

1991

fDate

18-21 Nov 1991

Firstpage

1606

Abstract

The author points out that there are many commonalities of neural network and object-oriented methodology, and gives an informal overview of the object-oriented neural network language (OONNL), specifically designed for the neurocomputer (software simulation/hardware implementation). It is a procedural and general-purpose language, which allows parallelism via the object-oriented concept. The parallelism expressible in OONNL is independent of the underlying hardware. It is easy to work, as it has few language constructs, yet it allows the definition of various kinds of neural network models and learning rules designed by the user. It has been adopted to be the simulation language of a large-scale neural network simulating system (GKD-NNSS). Its effectiveness and efficiency have been demonstrated by applications

Keywords

neural nets; object-oriented programming; parallel languages; simulation; GKD-NNSS; general purpose procedural language; large-scale neural network simulating system; neurocomputer; object-oriented neural network language; parallel processing; Computational modeling; Computer architecture; Computer languages; Computer science; Concurrent computing; Network topology; Neural network hardware; Neural networks; Object oriented modeling; Programming profession;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1991. 1991 IEEE International Joint Conference on

Print_ISBN

0-7803-0227-3

Type

conf

DOI

10.1109/IJCNN.1991.170357

Filename

170357